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Pytorch Developer Jobs in Irving, TX (NOW HIRING)

... TensorFlow/PyTorch, FastAPI/Flask, and cloud technologies. • Implement MLOps practices with ... • Strong SQL/data engineering experience; proficiency with Spark/Databricks. • Cloud ...

Lead Java Fullstack Developer

Dallas, TX · On-site

$52.25 - $67.25/hr

Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, etc. * Strong knowledge of CI/CD , and DevOps principles. * Experience with Docker and containerized application ...

Sr Python Developer with AI/ML

Dallas, TX · On-site

$120K - $162K/yr

We are looking for a " Sr Python Developer with AI/ML " to fill its long-term contract position. If ... Strong experience with Python libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.

Sr Software Engineer AI-ML

Irving, TX · On-site

$113K - $149K/yr

Required : • Strong programming proficiency (especially Python - expert level) • Deep learning frameworks (PyTorch, TensorFlow) • Data engineering skills to build and deploy models • ...

We are looking for a Full Stack Developer with experience in AI, large language models (LLMs), and ... Experience with AI/ML frameworks like TensorFlow, PyTorch, or OpenAI GPT. * Knowledge of computer ...

Strong proficiency in Python programming and related libraries (e.g., TensorFlow, PyTorch, scikit-learn). * Experience with Large Language Models (LLMs), Prompt Engineering, and RAG implementation.

... as PyTorch, TensorFlow, HuggingFace or similar libraries. • Experience with building or ... engineering teams and translate ambiguous test definitions into structured logic. • Bachelor ...

Gen AI Engineer (Agentic AI/Python/Google Cloud Platform-Google ADK preferrable) Onsite/Hybrid work ... You will work extensively with Python, PySpark, and PyTorch, utilizing Google Cloud Platform ...

New

AI Lead Engineer

Dallas, TX · On-site +1

$101K - $133K/yr

PyTorch * Scikit-learn * Data Preprocessing & Feature Engineering * Model Training, Validation & Evaluation * Statistics & ML Algorithms * MLOps * CI/CD Pipelines * Docker * Kubernetes * REST APIs ...

New

AI Lead Engineer

Dallas, TX · Remote

$101K - $133K/yr

... TensorFlow PyTorch Scikit-learn Data Preprocessing & Feature Engineering Model Training, Validation & Evaluation Statistics & ML Algorithms MLOps CI/CD Pipelines Docker Kubernetes REST APIs ...

New

Senior AI Developer

Dallas, TX · On-site

$120K - $161K/yr

Strong proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn ... Solid understanding of data engineering fundamentals * Experience with cloud-native AI deployment ...

Senior AI Developer

Dallas, TX · On-site

$120K - $161K/yr

Strong proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn ... Solid understanding of data engineering fundamentals * Experience with cloud-native AI deployment ...

AI Lead Engineer (Remote)

Dallas, TX · Remote

$104K - $138K/yr

PyTorch * Scikit-learn * Data Preprocessing & Feature Engineering * Model Training, Validation & Evaluation * Statistics & ML Algorithms * MLOps * CI/CD Pipelines * Docker * Kubernetes * REST APIs ...

New

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

TensorFlow PyTorch Scikit-learn XGBoost Strong understanding of: Supervised and Unsupervised ... Nice to Have AI Agent Development Multi-Agent Systems Prompt Engineering Fine-tuning LLMs Knowledge ...

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Pytorch Developer information

What is a PyTorch developer?

A PyTorch Developer is a software engineer or data scientist who specializes in using PyTorch, an open-source machine learning library, to build and deploy deep learning models. Their responsibilities typically include designing neural network architectures, training and evaluating models, and optimizing code for performance. PyTorch Developers work in fields such as artificial intelligence, computer vision, and natural language processing, collaborating with teams to solve complex problems using machine learning. They are proficient in Python and have a strong understanding of deep learning concepts. Additionally, they often contribute to research, development, and the deployment of AI solutions in production environments.

What are the key skills and qualifications needed to thrive as a PyTorch developer, and why are they important?

To thrive as a Pytorch Developer, you need strong programming skills in Python, a solid grasp of machine learning concepts, and experience with deep learning frameworks—especially PyTorch itself. Familiarity with tools like CUDA, Jupyter Notebooks, and version control systems (e.g., Git) is typically expected, along with knowledge of cloud platforms or relevant certifications. Problem-solving ability, effective collaboration, and clear communication are crucial soft skills for success in this role. These skills and qualities are vital for efficiently building, optimizing, and deploying machine learning models in real-world applications.

What is the difference between Pytorch Developer vs Machine Learning Engineer?

AspectPytorch DeveloperMachine Learning Engineer
Required CredentialsBachelor's or higher in CS, experience with PyTorchBachelor's or higher in CS, data science, or related field, with ML experience
Work EnvironmentResearch labs, AI startups, tech companies focusing on deep learningTech companies, finance, healthcare, often involving deployment and scaling ML models
Industry UsagePrimarily in AI research and development teamsAcross industries implementing ML solutions in production

While both roles require knowledge of machine learning and experience with PyTorch, a Pytorch Developer mainly focuses on developing and optimizing deep learning models using PyTorch. A Machine Learning Engineer often has a broader scope, including deploying, maintaining, and scaling ML models across various platforms and industries.

What are some common challenges PyTorch developers face when deploying machine learning models to production environments?

Pytorch Developers often encounter challenges when transitioning models from research to production, such as optimizing model performance for inference speed and memory usage, ensuring compatibility with deployment frameworks like TorchScript or ONNX, and managing dependencies across different systems. Additionally, integrating PyTorch models into existing software stacks and maintaining reproducibility can be complex. Collaborating closely with DevOps and data engineering teams is crucial to address these issues and ensure smooth deployment.
What are popular job titles related to Pytorch Developer jobs in Irving, TX? For Pytorch Developer jobs in Irving, TX, the most frequently searched job titles are:
What job categories do people searching Pytorch Developer jobs in Irving, TX look for? The top searched job categories for Pytorch Developer jobs in Irving, TX are:
What cities near Irving, TX are hiring for Pytorch Developer jobs? Cities near Irving, TX with the most Pytorch Developer job openings:

Senior AI/ML Developer

ClifyX

Irving, TX • On-site

Full-time

Re-posted 12 days ago


Job description

Job Summary:
ClifyX is a company focused on advanced AI and ML solutions, and they are seeking a Senior AI/ML Developer. The role involves building and deploying machine learning pipelines, developing GenAI solutions, and implementing MLOps practices while collaborating with cross-functional teams.
Responsibilities:
• Build and deploy full ML pipelines: data ingestion, feature engineering, model training, evaluation, deployment, and monitoring.
• Develop GenAI/LLM solutions, including RAG, vector search, fine tuning, and prompt optimization.
• Build scalable Python-based services/APIs using TensorFlow/PyTorch, FastAPI/Flask, and cloud technologies.
• Implement MLOps practices with MLflow/Kubeflow/SageMaker/Azure ML, CI/CD, and automated orchestration (Airflow, Prefect, Autosys).
• Ensure data quality, security, and compliance with model governance (SR 11 7), explainability, and financial regulatory standards.
• Collaborate with cross functional teams to translate business needs into AI solutions; provide mentorship and perform code/design reviews.
Qualifications:
Required:
• 5+ years of hands on with ML technologies.
• Expert Python and strong experience with ML/DL frameworks (TensorFlow, PyTorch, scikit learn)
• Hands on experience with LLMs, RAG architectures, vector databases, and GenAI toolkits
• Strong SQL/data engineering experience; proficiency with Spark/Databricks.
• Cloud engineering (Azure/AWS/GCP), Docker/Kubernetes, and CI/CD pipelines.
• Experience building production ML services and implementing monitoring for drift, performance, and reliability.
• Strong communication skills and ability to influence architecture and best practices.
Preferred:
• Financial domain expertise (risk, fraud, forecasting, customer intelligence).
• Advanced ML topics: time series, graph ML, optimization, causal inference.
• ONNX/TensorRT model optimization and real time inference experience.
• Automation Background: RPA tools: Automation Anywhere, Xceptor, Test automation: Selenium
• Java or Angular knowledge for integrations with enterprise systems.
• Experience with observability tools (Splunk, Grafana)
Company:
ClifyX provides innovative business solutions which satisfy requirements for mission-critical reliability, scalability, interoperations. Founded in 1998, the company is headquartered in South Plainfield, USA, with a team of 501-1000 employees. The company is currently Late Stage.

ClifyX logo

About ClifyX

Sourced by ZipRecruiter

ClifyX is a well-established player in the IT Services sector that specializes in providing result-oriented technological solutions to a wide range of industrial verticals. Based in South Plainfield, New Jersey, ClifyX offers a comprehensive selection of IT services that include project staffing, application development, professional consulting, and other IT-based solutions. While the company's website, clifyx.com, does not divulge the exact founding date, it is clear that ClifyX has grown into a renowned name within their domain, thanks to their unwavering commitment to innovative practices. The company's mission statement revolves around harnessing the power of technology to assist their clientele in steering their respective businesses towards success.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

South Plainfield, NJ, US

Year founded

1998